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Smart city article details
| Title | Application Of Internet Of Vehicles (Iov) In Smart Transportation System |
|---|---|
| ID_Doc | 9914 |
| Authors | Padmamabhan K.; Geetha S.; Nidhya M.S.; Gunasekaran S. |
| Year | 2025 |
| Published | Lecture Notes in Intelligent Transportation and Infrastructure, Part F64 |
| DOI | http://dx.doi.org/10.1007/978-3-031-72617-0_15 |
| Abstract | With the ever-increasing sophistication of modern technology, our society is being graced with an array of smart gadgets that enhance the way we go about our everyday lives. Connecting disparate devices and enabling them to share data in real-time, the Internet of Things (IoT) is a game-changer in terms of modern technology. Researchers are especially interested in smart transportation because of its potential to completely change the way products and people are transported. Among the several advantages that drivers in a smart city may enjoy thanks to the Internet of Things are better logistics, safer driving, more efficient parking, and better traffic management. All of these advantages may be seen in smart transportation apps that are built into transportation networks. Our goal in writing this chapter is to provide a comprehensive analysis of the various smart transportation systems now in use, together with an analysis of the obstacles faced by each. So, we took a look at the frameworks, structures, and communication methods that make these smart transportation apps and systems possible. At last, we discussed the present state of smart transportation research and offered some suggestions for where the subject may go from here. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. |
| Author Keywords | Distributed systems; Intelligent systems; Internet of things; Machine learning; Sensor; Smart transportation applications |
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